Considering one ML application is deployed using Kubernetes, its output depends on the data which is constantly stored in the model, if needing to scale the system based on available CPUs, what feature should be enabled?
Given two multidimensional arrays of the same data type, A and B which two Python NumPy statements give the matrix product of the two matrices? (Choose two.)
A new test to diagnose a disease is evaluated on 1152 people, and 106 people have the disease, and 1046 people do not have the disease. The test results are summarized below:
In this sample, how many cases are false positives and false negatives?
Which test is applied to determine the relationship between two categorical variables?
Which algorithm is best suited if a client needs full explainability of the machine learning model?
Which situation would disqualify a machine learning system from being used for a particular use case?